COMPMID-2412: Add QSYMM16 support for ElementwiseAddition for CL

Arithmetic addition uses the same code as other element-wise operations.
Hence, adding QSYMM16 support for addition automatically adds the same
support for:

- arithmetic subtraction
- element-wise min
- element-wise max
- squared difference

Change-Id: If986102844f62e29dd23c03f9245910db43f9043
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1384
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 32 insertions, 3 deletions

diff --git a/tests/validation/reference/ElementwiseOperations.cpp b/tests/validation/reference/ElementwiseOperations.cpp
index 44eb417969..d5a37a0fae 100644
--- a/tests/validation/reference/ElementwiseOperations.cpp
+++ b/tests/validation/reference/ElementwiseOperations.cpp
@@ -184,10 +184,39 @@ SimpleTensor<uint8_t> arithmetic_operation(ArithmeticOperation op, const SimpleT
     }
 }
 
+template <>
+SimpleTensor<int16_t> arithmetic_operation(ArithmeticOperation op, const SimpleTensor<int16_t> &src1, const SimpleTensor<int16_t> &src2, SimpleTensor<int16_t> &dst, ConvertPolicy convert_policy)
+{
+    if(dst.data_type() == DataType::QSYMM16)
+    {
+        SimpleTensor<float> src1_tmp = convert_from_symmetric<int16_t>(src1);
+        SimpleTensor<float> src2_tmp = convert_from_symmetric<int16_t>(src2);
+        SimpleTensor<float> dst_tmp(TensorShape::broadcast_shape(src1.shape(), src2.shape()), dst.data_type());
+
+        Coordinates id_src1{};
+        Coordinates id_src2{};
+        Coordinates id_dst{};
+
+        BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(op, src1_tmp, src2_tmp, dst_tmp, convert_policy, id_src1, id_src2, id_dst);
+
+        dst = convert_to_symmetric<int16_t>(dst_tmp, dst.quantization_info());
+        return dst;
+    }
+    else
+    {
+        // DataType::S16
+        Coordinates id_src1{};
+        Coordinates id_src2{};
+        Coordinates id_dst{};
+
+        BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(op, src1, src2, dst, convert_policy, id_src1, id_src2, id_dst);
+
+        return dst;
+    }
+}
+
 template SimpleTensor<int32_t> arithmetic_operation(ArithmeticOperation op, const SimpleTensor<int32_t> &src1, const SimpleTensor<int32_t> &src2, SimpleTensor<int32_t> &dst,
                                                     ConvertPolicy convert_policy);
-template SimpleTensor<int16_t> arithmetic_operation(ArithmeticOperation op, const SimpleTensor<int16_t> &src1, const SimpleTensor<int16_t> &src2, SimpleTensor<int16_t> &dst,
-                                                    ConvertPolicy convert_policy);
 template SimpleTensor<int8_t> arithmetic_operation(ArithmeticOperation op, const SimpleTensor<int8_t> &src1, const SimpleTensor<int8_t> &src2, SimpleTensor<int8_t> &dst,
                                                    ConvertPolicy convert_policy);
 template SimpleTensor<half> arithmetic_operation(ArithmeticOperation op, const SimpleTensor<half> &src1, const SimpleTensor<half> &src2, SimpleTensor<half> &dst, ConvertPolicy convert_policy);
@@ -196,7 +225,7 @@ template SimpleTensor<float> arithmetic_operation(ArithmeticOperation op, const
 template <typename T>
 SimpleTensor<T> arithmetic_operation(ArithmeticOperation op, const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, DataType dst_data_type, ConvertPolicy convert_policy)
 {
-    ARM_COMPUTE_ERROR_ON_MSG(dst_data_type == DataType::QASYMM8, "For QASYMM8, the quantized output tensor should be passed directly.");
+    ARM_COMPUTE_ERROR_ON_MSG(is_data_type_quantized(dst_data_type), "For quantized data types, the quantized output tensor should be passed directly.");
 
     SimpleTensor<T> dst(TensorShape::broadcast_shape(src1.shape(), src2.shape()), dst_data_type);
     arithmetic_operation<T>(op, src1, src2, dst, convert_policy);